User Input

Draw.AI wireframing focuses on functional, not pixel‑perfect UI prototypes that are directly traceable to your ontology and agentic flows. Wireframes are executable artifacts: they document UX intent for stakeholders, generate functional UI code, and enable SMEs to iterate quickly in a safe, local environment (Docker Desktop or sandbox). The goal is fast, validated UX that maps to typed domain models and agent contracts.

Wireframes demo

Principles

• Function over form — prioritize fields, bindings, and behavior over visual polish.
• One source of truth — wireframes reference ontology types and use the same color coding so UI, data, and logic stay aligned.
• Traceable UX — every field, action, and screen links back to ontology attributes, operations, and agentic flows.
• Executable by design — wireframes are first‑class artifacts that can be exported to a runtime or code generator.
• SME friendly — easy to learn notation so domain experts can prototype and iterate without heavy engineering support.

Getting Started and Best Practices

• Start small — prototype one screen bound to one core entity and one operation.
• Stabilize color and type mapping — agree on type colors and field styles so wireframes and ontology remain consistent.
• Document adjacent to elements — attach acceptance criteria and examples to fields for UX reviews and agent prompts.
• Iterate in sandbox — run the prototype locally in Docker Desktop; SMEs make changes, push, and see the updated UI quickly.
• Use libraries — maintain reusable UI components (TextField, Lookup, DatePicker) that carry binding metadata.

Result: functional wireframes become living artifacts — documentation for UX conversations, a bridge to engineering, and a fast path to runnable prototypes. SMEs can capture intent visually, validate behavior with stakeholders, and iterate until the UI and agentic flows meet real needs.